WilfredoB. Jr. Barrera, R. Ferrise, A. dalla Marta
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引用次数: 0
Abstract
Estimating crop evapotranspiration (ETc) is crucial for ensuring sustainable and efficient agricultural water management. Although this subject has garnered significant attention from the global scientific community, a comprehensive study encompassing the diversity, trends, and dynamics of research themes is currently lacking. To address this knowledge gap, this review employed a combined bibliometric and thematic approach to analyze bibliographic data from 1872 documents retrieved from the Web of Science™ core collection, spanning the period 1987–2022. The main findings of this review are as follows: (1) the scientific landscape is predominantly shaped by institutions from the USA and China; (2) the journal Agricultural Water Management emerged as the most prolific, with the highest number of publications and total citations; (3) a broad range of topics within ETc research were identified, with a notable emphasis on remote sensing-related subjects; (4) strategic coordination mapping revealed that ETc and reference evapotranspiration (ETo) remains an underdeveloped area of study; (5) climate change and machine learning emerged as key topics of significant scientific concern. The results suggest a need for enhanced institutional collaborations and expanded research investigations, particularly in regions grappling with agricultural water scarcity. Furthermore, research investigations should focus on ETc and ETo to fill existing knowledge gaps and advance both theoretical understanding and practical applications. Future studies should aim to contribute to the understanding of the impacts of climate change on ETc by leveraging machine learning techniques and enhancing our understanding of crop water requirements and their application in irrigation management, while also ensuring continuous updates to the existing body of knowledge to meet future challenges.
估算作物蒸散量对于确保可持续和高效的农业用水管理至关重要。尽管这一主题已经引起了全球科学界的极大关注,但目前还缺乏一项涵盖研究主题多样性、趋势和动态的综合研究。为了解决这一知识差距,本综述采用文献计量学和专题分析相结合的方法,分析了从Web of Science™核心馆藏检索的1872篇文献的书目数据,时间跨度为1987-2022年。本综述的主要发现如下:(1)科学格局主要由美国和中国的机构塑造;(2)《农业水资源管理》期刊发表论文最多,总被引次数最多;(3)在ETc研究中确定了广泛的主题,特别是与遥感相关的主题;(4)战略协调图显示ETc与参考蒸散量(ETo)的研究仍是一个欠发达的领域;(5)气候变化和机器学习成为重要科学关注的关键话题。这些结果表明,需要加强机构合作和扩大研究调查,特别是在努力解决农业缺水问题的地区。此外,研究调查应集中在电子商务和电子商务领域,以填补现有的知识空白,促进理论认识和实际应用。未来的研究应旨在通过利用机器学习技术,提高我们对作物需水量及其在灌溉管理中的应用的理解,同时确保不断更新现有知识体系,以应对未来的挑战,从而有助于理解气候变化对ETc的影响。
期刊介绍:
Among the areas of specific interest of the journal there are: ecophysiology; phenology; plant growth, quality and quantity of production; plant pathology; entomology; welfare conditions of livestocks; soil physics and hydrology; micrometeorology; modeling, simulation and forecasting; remote sensing; territorial planning; geographical information systems and spatialization techniques; instrumentation to measure physical and biological quantities; data validation techniques, agroclimatology; agriculture scientific dissemination; support services for farmers.